Stock Markets Falling: 1 Ridiculously Cheap Stock Investors Can Buy Amid the Selling

Stock Advisor touts a 911% total average return as of March 20, 2026 (vs. 186% for the S&P 500), citing historical $1,000 examples turning into ~$494.7k for Netflix and ~$1.095M for Nvidia. The piece promotes a purported "Indispensable Monopoly" tech company supplying critical technology to Nvidia and Intel, saying it thrived during the pandemic and has long-term tailwinds tied to AI. Disclosures note Motley Fool holds and recommends Etsy, the author is an affiliate who may be compensated, stock prices referenced were as of March 18, 2026, and the video was published March 20, 2026.

Analysis

The market is pricing a concentrated technology stack where a few platforms capture most AI economics; that amplifies optionality for Nvidia but also creates bottlenecks upstream in specialty substrates, advanced packaging, and test services where pricing power can outsize fab margins. Expect supplier spreads to widen over 12–36 months: constrained lead times for advanced packaging raise per-unit costs 10–25% for accelerators, increasing incremental gross margins for vertically positioned suppliers while pressuring OEM unit growth if customers delay refresh cycles.

Intel’s neutral positioning hides asymmetric downside risk from accelerated GPU/AI adoption — if hyperscalers prioritize accelerator-centric architectures, Intel’s CPU revenue could face a gradual structural decline over 2–5 years, forcing more aggressive margin investments or price competition. Conversely, Nvidia’s share gains are subject to a cadence risk: a single execution slip on supply or a generational node advantage by a competitor could compress its consensus forward multiple by 20–35% within two quarters.

Retail/demand signals (Etsy) are diverging from platform-driven ad/engagement winners (Netflix, Nasdaq listings/trading volumes). The secular shift toward platform monetization and algorithmic distribution favors firms with network effects and data flywheels; smaller marketplace consumer brands are more exposed to discretionary spend cycles and incremental marketing cost inflation, making them higher beta to macro shocks in the next 6–12 months.

Key Decisions for Investors

• Long NVDA via directional LEAPs: Buy NVDA Jan-2028 $800 calls (or nearest strike) sized to 2–3% of portfolio. Rationale: captures multi-year AI accelerator adoption with capped capital; upside scenario +100–200% if AI capex persists, max loss = premium. Hedge by selling shorter-dated calls (e.g., Sep-2026) to finance ~30–40% of premium and reduce theta drag.
• Pair trade to express architecture rotation: Long NVDA / Short INTC equity (equal dollar) over 6–18 months. Target: if NVDA outperforms INTC by >40% take profits; stop-loss if pair moves against by 20%. This exploits asymmetric secular demand for accelerators vs CPUs while neutralizing market beta.
• Short ETSY tactically: Initiate a small short (0.5–1% portfolio) or buy put spread (3–6 month) against string of weaker consumer discretionary signals. Risk/reward: limited upside if macro tightens (puts ~3–5x payoff vs premium); cut if active buyer engagement metrics stabilize or gross margin expansion is reported in next two quarters.
• Long NDAQ selective exposure: Buy Nasdaq-listed exchange/Nasdaq Inc. (NDAQ) for 12–24 months to capture structural increases in listings, ETF creation, and options flow from AI-driven trading. Position size 1–2% portfolio; downside limited by regulated cash flows but monitor trading-volume sensitivity—reduce if realized volatility and volumes fall 15% QoQ.
• Catalyst hedges and monitors: Buy protection (buy-to-open 6–9 month ATM puts) across NVDA and long positions sized to 0.5–1% portfolio to guard against short-term execution/geo constraints (export controls) that could compress multiples by 20–30% within a quarter.